How to Use the ZeroTier MCP in Pydantic AI
Type-Safe ZeroTier Network Control for Pydantic AI Agents: Guaranteed Data Integrity.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ZeroTier MCP to Pydantic AI
Create your Vinkius account to connect ZeroTier to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Managing ZeroTier Networks with Type Safety
The MCP Server provides tools that let your agent manage virtual networks while guaranteeing the output structure. You can list all available central networks using `list_central_networks` or get details on a specific network via `get_central_network`. The Pydantic validation ensures these complex data structures are always correct for your Python code. The server also allows you to modify infrastructure through tools like `update_controller_network`. If the API returns unexpected fields, your agent fails loudly with a clear validation error—no silent corruption.
Authorizing and Listing ZeroTier Members
When working with critical records, data integrity can't be optional. Your client uses `list_central_network_members` to get a list of peers, ensuring that the resulting Python object matches your expected schema. You'll never have hallucinated fields. Need to onboard someone? The agent calls `update_controller_network_member`. Because Pydantic validates this output, you know exactly what configuration was applied and that it conforms to your type definitions.
Monitoring Local Node Status via MCP Server
The server exposes the `get_local_status` tool. This gives your agent reliable, typed data about its local ZeroTier node state. You can build critical logic around this predictable output. Furthermore, if the agent needs to change networks, it uses `join_local_network`. The ability of Pydantic AI to validate the resulting network status makes these transitions completely trustworthy.
Set up ZeroTier MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"zerotier-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to ZeroTier tools.",
)
result = await agent.run("List recent ZeroTier transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ZeroTier. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about ZeroTier MCP in Pydantic AI
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